Dr. Jilliam Díaz Barros, from the Augmented Vision department at DFKI, was honored as an Outstanding Reviewer at WACV 2025.
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) provides a forum for computer vision researchers working on practical applications and innovative algorithms to share their latest developments. WACV 2025 was held in Tucson, Arizona, from February 28th to March 4th.
The researchers of the Augmented Vision department have presented 4 papers at the ICPRAM 2025 conference taking place Feb 23 – 25, 2025 in Porto, Portugal.
The International Conference on Pattern Recognition Applications and Methods (ICPRAM) is a point of contact between researchers and engineers working on Pattern Recognition, both from a theoretical and application perspective.
The presented papers are:
“Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions”
Shishir Muralidhara, René Schuster, Didier Stricker
“1D-DiffNPHR: 1D Diffusion Neural Parametric Head Reconstruction using a single image”
Pragati Jaiswal, Tewodros Amberbir Habtegebrial, Didier Stricker
“HI^2: Sparse-View 3D Object Reconstruction with a Hybrid Implicit Initialization”
Pragati Jaiswal, Didier Stricker
“Object-Centric 2D Gaussian Splatting: Background Removal and Occlusion-Aware Pruning for Compact Object Models”
Marcel Rogge, Didier Stricker
The paper “HI^2: Sparse-View 3D Object Reconstruction with a Hybrid Implicit Initialization” was a nominee for the best paper award.
Congratulations to all the authors!
Contact: René Schuster, Didier Stricker
The researchers of the department Augmented Vision have presented 4 papers at WACV 2025 conference taking place Feb 28 – Mar 4, 2025 in Tucson, Arizona, USA.
The IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) one of the three major Computer Vision conferences organized by TCPAMI.
The 4 papers are:
“Uni-SLAM: Uncertainty-Aware Neural Implicit SLAM for Real-Time Dense Indoor Scene Reconstruction” Shaoxiang Wang, Yaxu Xie, Chun-Peng Chang, Christen Millerdurai, Alain Pagani, Didier Stricker
“Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation”, Niharika Hegde, Shishir Muralidhara, René Schuster, Didier Stricker
“AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy”, Katharina Bendig, René Schuster, Nicole Thiemer, Karen Joisten, Didier Stricker
“Beyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection”, Khurram Azeem Hashmi, Talha Uddin Sheikh, Didier Stricker, Muhammad Zeshan Afzal
Congratulations to the authors for this great achievement!
Contact: Alain Pagani, René Schuster, Zeshan Afzal
Contact: Alain Pagani, René Schuster, Zeshan Afzal
The consortium of the HumanTech project, under the coordination of DFKI Augmented Vision – Dr. Jason Rambach, had its final in-person General Assembly meeting in Madrid, Spain on the 30-31st January 2025. The meeting was hosted in the premises of the project partner ACCIONA. All project partners had an opportunity to experience live demonstrations of the HumanTech technologies bringing AI and Robots to construction sites, such as intention-activated exoskeletons for construction workers and collaborative brick-laying robots.
The HumanTech project is ending in May 2025 with several success stories such as:
For more on HumanTech: https://humantech-horizon.eu/news/
Contact: Dr. Jason Rambach
Our article “Resolving Symmetry Ambiguity in Correspondence-based Methods for Instance-level Object Pose Estimation” was published in the prestigious Transactions on Image Processing (TIP) Journal. The work is a collaboration of DFKI with Zhejiang University. The article is openly accessible at: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10906413
Yongliang Lin, Yongzhi Su, Sandeep Inuganti, Yan Di, Naeem Ajilforoushan, Hanqing Yang, Yu Zhang, Jason Rambach. “Resolving Symmetry Ambiguity in Correspondence-based Methods for Instance-level Object Pose Estimation” IEEE Transaction on Image Processing (2025).
Contact: Dr. Jason Rambach